ONNX | Microsoft Open Source Blog

Project updates May 19, 2020 3 min read

Announcing accelerated training with ONNX Runtime—train models up to 45% faster

ONNX Runtime is an open source project that is designed to accelerate machine learning across a wide range of frameworks, operating systems, and hardware platforms.

Project updates January 21, 2020 4 min read

Microsoft open sources breakthrough optimizations for transformer inference on GPU and CPU

This post is co-authored by Emma Ning, Azure Machine Learning; Nathan Yan, Azure Machine Learning; Jeffrey Zhu, Bing; Jason Li, Bing One of the most popular deep learning models used for natural language processing is BERT (Bidirectional Encoder Representations from Transformers).

News November 14, 2019 2 min read

ONNX joins Linux Foundation

Today the Open Neural Network eXchange (ONNX) is joining the LF AI Foundation, an umbrella foundation of the Linux Foundation supporting open source innovation in artificial intelligence, machine learning, and deep learning.

News October 30, 2019 3 min read

Announcing ONNX Runtime 1.0

One year after ONNX Runtime’s initial preview release, we’re excited to announce v1.

News August 26, 2019 4 min read

Now available: ONNX Runtime 0.5 with support for edge hardware acceleration

ONNX Runtime 0.5, the latest update to the open source high performance inference engine for ONNX models, is now available.

News May 22, 2019 3 min read

ONNX Runtime: a one-stop shop for machine learning inferencing

Organizations that want to leverage AI at scale must overcome a number of challenges around model training and model inferencing.